Data Management

Why is Data Analytics Important in Healthcare?

Do you know about data analytics? These data analytics allow for an industry to obtain any insights from patters and connections that are found so they can make better decisions. Businesses are able to achieve multiple advantages by using these statistics. Analytics help find meaning in real-time or historical data so there can be prediction made about the future to improve the probability of success. Due to the healthcare industry using data analytics they will be able to benefit their business by improving patient care quality, improve operational efficiency, and prevent diseases. 

Every business is curious on how they can make their operations better whether it’s for money savings or for the care of patients.… Read the rest

Abey Francis

Understanding Different Eras of Data Analytics

Back in the 1950’s and 1970’s, the role of information systems (IS) was to support operational functions within the organization. IS was primarily used in transaction applications, involving accounting transactions. The focus was on IS efficiency and IS effectiveness. With the advent of internet and as information technology (IT) advanced over time, the methods to assess the data and the amount that could be processed increased significantly. Data became more quickly accessible and could be processed at greater speeds. This assisted organizations and managers to report and run data more effectively. Information systems have helped organizations improve their decision making process and help managers reduce the risk involved.… Read the rest

Abey Francis

What Is Big Data?

Around the late 1990s the term “Big Data”, was launched at the Silicon Graphics Inc although it did not become a massive buzz word until 2011.

Big Data can be defined as a term, used to described the huge datasets, which consist of both structured and non-structured data.  These data sets can be very complex, however with techniques and various types of tools, this can enable the collecting, storage, cleansing, extract of the data to be analyzed. The analyzed data can offer great benefits to various types of industry.

There is a massive market for companies for all types of industries to know what people want. … Read the rest

Abey Francis

The Role of Big Data in Marketing

Big data is large and complex data sets that are collected by companies and governments. The data that involve many types of information arriving in increasing volumes and with the incredibly fast rates. Big data signifies colossal volumes of data are being generated from assorted sources such as business processes, machines networks, and social media. Historically, it is a challenge to reserve the enormous volume of data, by the progression computing capacity that storage is not an issue anymore.

Big data can be classified into three types of data which is structured data, unstructured data, and semi-structured data. The structured data being easily entered, processed, queried, stored and recover into a fixed format.… Read the rest

Abey Francis

Data Warehousing – Meaning, Benefits and Implications

What is  Data Warehousing?

The term data warehouse or data warehousing was first coined by Bill Inmon in the year 1990 which was defined as a “warehouse which is subject-oriented, integrated, time variant and non-volatile collection of data in support of management’s decision making process”. When referring to data warehousing as subject oriented, it simply means that the process is giving information about a particular subject rather than the details regarding the on-going operations of the company. Moreover, when data warehousing was referred to as integrated it means that the data or information which are gathered from a number of sources are then all gathered to synthesize a coherent whole.… Read the rest

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Data Mining Functionalities

Data mining has an important place in today’s world. It becomes an important research area as there is a huge amount of data available in most of the applications. This huge amount of data must be processed in order to extract useful information and knowledge, since they are not explicit. Data Mining is the process of discovering interesting knowledge from large amount of data.

The kinds of patterns that can be discovered depend upon the data mining tasks employed. By and large, there are two types of data mining tasks: descriptive data mining tasks that describe the general properties of the existing data, and predictive data mining tasks that attempt to do predictions based on inference on available data.… Read the rest

Abey Francis